Ontology type: schema:Chapter
2013
AUTHORSChristian Rathgeb , Christoph Busch
ABSTRACTTechnologies of cancelable biometrics protect biometric data by applying transforms to biometric signals which enable a comparison of biometric templates in the transformed domain. Thereby biometric data is permanently protected, preventing identity fraud and privacy violation. The inversion of transformed biometric signals must not be feasible for potential attackers, i.e. irreversibility must be guaranteed. In this work we propose a theoretical estimation of the irreversibility of generic cancelable biometric systems. Based on a general formalization of cancelable feature transforms the complexity of reverse engineering is evaluated, quantifying the security provided by the respective approach. In addition, examples are presented which clearly point at the security provided by existing approaches. More... »
PAGES177-184
Computer Analysis of Images and Patterns
ISBN
978-3-642-40245-6
978-3-642-40246-3
http://scigraph.springernature.com/pub.10.1007/978-3-642-40246-3_22
DOIhttp://dx.doi.org/10.1007/978-3-642-40246-3_22
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1050016838
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Darmstadt University of Applied Sciences",
"id": "https://www.grid.ac/institutes/grid.449026.d",
"name": [
"da/sec Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, Germany"
],
"type": "Organization"
},
"familyName": "Rathgeb",
"givenName": "Christian",
"id": "sg:person.012007746513.18",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012007746513.18"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Darmstadt University of Applied Sciences",
"id": "https://www.grid.ac/institutes/grid.449026.d",
"name": [
"da/sec Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, Germany"
],
"type": "Organization"
},
"familyName": "Busch",
"givenName": "Christoph",
"id": "sg:person.011143356603.69",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011143356603.69"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/978-3-642-04474-8_11",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007240803",
"https://doi.org/10.1007/978-3-642-04474-8_11"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.patcog.2007.12.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012317703"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-13775-4_27",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030250961",
"https://doi.org/10.1007/978-3-642-13775-4_27"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-13775-4_27",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030250961",
"https://doi.org/10.1007/978-3-642-13775-4_27"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1687-417x-2011-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045155101",
"https://doi.org/10.1186/1687-417x-2011-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tpami.2007.1004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061743143"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsmca.2010.2041653",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061795594"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1147/sj.403.0614",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063184645"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/fgr.2006.94",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094220772"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icpr.2004.1334679",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094250794"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icpr.2008.4761886",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095501486"
],
"type": "CreativeWork"
}
],
"datePublished": "2013",
"datePublishedReg": "2013-01-01",
"description": "Technologies of cancelable biometrics protect biometric data by applying transforms to biometric signals which enable a comparison of biometric templates in the transformed domain. Thereby biometric data is permanently protected, preventing identity fraud and privacy violation. The inversion of transformed biometric signals must not be feasible for potential attackers, i.e. irreversibility must be guaranteed. In this work we propose a theoretical estimation of the irreversibility of generic cancelable biometric systems. Based on a general formalization of cancelable feature transforms the complexity of reverse engineering is evaluated, quantifying the security provided by the respective approach. In addition, examples are presented which clearly point at the security provided by existing approaches.",
"editor": [
{
"familyName": "Wilson",
"givenName": "Richard",
"type": "Person"
},
{
"familyName": "Hancock",
"givenName": "Edwin",
"type": "Person"
},
{
"familyName": "Bors",
"givenName": "Adrian",
"type": "Person"
},
{
"familyName": "Smith",
"givenName": "William",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-642-40246-3_22",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-642-40245-6",
"978-3-642-40246-3"
],
"name": "Computer Analysis of Images and Patterns",
"type": "Book"
},
"name": "Irreversibility Analysis of Feature Transform-Based Cancelable Biometrics",
"pagination": "177-184",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-642-40246-3_22"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ee4373d5db5dd9443d939e76e22ceaa5e5f1fb48c489c2f1ac1b9663b740ea64"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1050016838"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-642-40246-3_22",
"https://app.dimensions.ai/details/publication/pub.1050016838"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T15:24",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000274.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-642-40246-3_22"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40246-3_22'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40246-3_22'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40246-3_22'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-40246-3_22'
This table displays all metadata directly associated to this object as RDF triples.
120 TRIPLES
23 PREDICATES
37 URIs
20 LITERALS
8 BLANK NODES